_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-standr 1.14.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-summarizedexperiment@1.40.0 r-spatialexperiment@1.20.0 r-singlecellexperiment@1.32.0 r-s4vectors@0.48.0 r-ruvseq@1.44.0 r-ruv@0.9.7.1 r-rlang@1.1.6 r-readr@2.1.6 r-patchwork@1.3.2 r-mclustcomp@0.3.5 r-limma@3.66.0 r-ggplot2@4.0.1 r-ggalluvial@0.12.5 r-edger@4.8.0 r-dplyr@1.1.4 r-biocgenerics@0.56.0 r-biobase@2.70.0
Channel: guix-bioc
Location: guix-bioc/packages/s.scm (guix-bioc packages s)
Home page: https://github.com/DavisLaboratory/standR
Licenses: Expat
Synopsis: Spatial transcriptome analyses of Nanostring's DSP data in R
Description:

standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. standR allows data inspection, quality control, normalization, batch correction and evaluation with informative visualizations.

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